Abstract

We describe the development of multifunctional nanoparticle probes based on semiconductor quantum dots (QDs) for cancer targeting and imaging in living animals. The structural design involves encapsulating luminescent QDs with an ABC triblock copolymer and linking this amphiphilic polymer to tumor-targeting ligands and drug-delivery functionalities. In vivo targeting studies of human prostate cancer growing in nude mice indicate that the QD probes accumulate at tumors both by the enhanced permeability and retention of tumor sites and by antibody binding to cancer-specific cell surface biomarkers. Using both subcutaneous injection of QD-tagged cancer cells and systemic injection of multifunctional QD probes, we have achieved sensitive and multicolor fluorescence imaging of cancer cells under in vivo conditions. We have also integrated a whole-body macro-illumination system with wavelength-resolved spectral imaging for efficient background removal and precise delineation of weak spectral signatures. These results raise new possibilities for ultrasensitive and multiplexed imaging of molecular targets in vivo.

Keywords

In vivoQuantum dotPreclinical imagingCancer cellFluorescence-lifetime imaging microscopyMolecular imagingCancerMaterials scienceNanotechnologyFluorescenceCancer imagingProstate cancerDrug deliveryCancer biomarkersBiophysicsCancer researchChemistryMedicineBiology

MeSH Terms

AnimalsBreast NeoplasmsCell LineTumorCoated MaterialsBiocompatibleDrug Delivery SystemsFemaleHumansImage EnhancementMaleMaterials TestingMiceMiceNudeMicroscopyFluorescenceNeoplasmsProstatic NeoplasmsQuantum DotsSemiconductorsSpectrometryFluorescenceTissue Distribution

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Publication Info

Year
2004
Type
article
Volume
22
Issue
8
Pages
969-976
Citations
4682
Access
Closed

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4682
OpenAlex
81
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4074
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Cite This

Xiaohu Gao, Yuanyuan Cui, Richard M. Levenson et al. (2004). In vivo cancer targeting and imaging with semiconductor quantum dots. Nature Biotechnology , 22 (8) , 969-976. https://doi.org/10.1038/nbt994

Identifiers

DOI
10.1038/nbt994
PMID
15258594

Data Quality

Data completeness: 86%